Mandelblatt, Jeanne S.

ABSTRACT Background Guidelines recommend primary care practitioners (“PCPs”) engage women ≥ 75 years in shared decision‐making (SDM) around mammography screening. Therefore, we aimed to develop a web‐based conversation aid about mammography screening for women ≥ 75 using output from established simulation models to provide screening outcomes based on > 23,000 combinations of individual women's health and breast cancer risk factors. Methods We used an end‐user centered design approach to develop a prototype web‐based conversation aid incorporating feedback. From July 2023 to April 2024, 10 PCPs from a Boston‐area health system and a safety‐net hospital used the prototype aid during encounters with women ≥ 75 without breast cancer or dementia ( n = 30; 1–5 patients per PCP). We observed aid use and assessed clinician effort to involve patients in SDM using OPTION5 (assesses five components of SDM, scores range 0–100). We surveyed PCPs and patients about the aid's acceptability. Patients completed the SDM‐process scale (scores range 0–4) to rate the SDM quality experienced. Participants' comments were subject to thematic analysis. Results Of 10 PCP ‐participants, seven were female and four were community‐based. Of 30 patient‐participants, 22 (73%) were non‐Hispanic White, 9 (30%) had ≥ 2 Charlson comorbidities and mean age was 78.5 years ( SD 2.8). Nine PCPs agreed that the aid helped them with SDM and was easy‐to‐use; six felt it had too much information; and seven planned to continue using the aid. Patients rated the SDM ‐process highly (scores = 3.0 [ SD 0.9]) and we observed high SDM (mean OPTION5 = 77.9 [ SD 20.6]). Participants felt the aid was “empowering” and “helpful for decision‐making.” After SDM discussions, seven patients intended to stop screening, nine to screen less frequently, and 14 to continue screening regularly. Conclusions We developed a novel conversation aid that supports SDM about mammography screening with women ≥ 75 years. Lessons learned will guide revisions of a final tool for testing in a clinical trial.

12040 Background: Novel strategies are needed to assess frailty in the context of therapy decisions for older adults with acute myeloid leukemia (AML). Our objectives were to describe pre-treatment DAFI scores for older AML patients treated on clinical trials and explore their relationship with treatment outcomes. Methods: We conducted a exploratory analysis utilizing data from two clinical trials of adults aged ≥60 years with newly diagnosed AML (Alliance/CALGB 11001 [intensive therapy] and Alliance/CALGB 11002 [non-intensive therapy]). We included the subset of patients in each trial enrolled on geriatric assessment companion studies (Alliance/CALGB 361006, 361101). A DAFI score was calculated for each patient using 51 variables including demographic, geriatric assessment, and laboratory data derived from the geriatric assessment. Individuals with ≥90% items were included (consistent with other studies); DAFI scores ranged from 0 to 1 and were evaluated using established categories (0- <.2 [robust]; 0.2-<.35 [pre-frail]; 0.35+ [frail]) and as a continuous score. Associations between DAFI scores and toxicity and overall survival (OS) were evaluated with Fisher’s exact-testing and Kaplan Meier/cox proportional hazards, respectively. Results: The median age was 68 years (range 61, 82) and 72 years (range 61, 92) for those getting intensive (N=31) and less intensive therapy (N= 75), respectively. Individuals in the intensive study had a median pre-treatment DAFI score of 0.15 (range 0.05, 0.31) and were all categorized as robust (75%) or pre-frail (25%). There was no significant difference in median OS (14.6 vs. 14.7 months) or non-hematological grade 3+ adverse events (AEs; 85% vs. 89%) between robust vs. pre-frail individuals in this trial, respectively. However, pre-frail adults experienced a trend towards greater grade 4 non-hematological toxicity than robust individuals (67% vs 26%, p=0.05). In the non-intensive trial, the median DAFI score was 0.24 (range 0.04, 0.48) and most individuals were pre-frail (49.3%) or frail (17.3%). Non-hematologic grade 3+ AEs did not vary by DAFI group, 88% robust, 95% pre-frail, and 77% frail (p=0.15). Median OS was 7.4, 10.8, and 6.3 months for robust, pre-frail, and frail respectively (p=0.17). Adjusting for age, each 0.1 increase in DAFI score was associated with increased mortality hazard (HR 1.8, 95% CI 1.0-3.2). Conclusions: DAFI score calculation provides a potential novel strategy for categorization of frailty in AML. In our assessment, higher DAFI scores were associated with toxicity during intensive induction and mortality in the less intensive setting. This method should be studied in larger samples randomized by treatment intensity. Support: UG1CA189823; Bayer Healthcare/Berlex (CALGB 11001); NCT01253070 (CALGB 11001). Clinical trial information: NCT01253070, NCT01420926.

10500 Background: Inherited pathogenic variants in ATM, CHEK2, and PALB2 confer moderate to high risks of breast cancer. The optimal approach to screening in these women has not been established. Methods: We used two simulation models from the Cancer Intervention and Surveillance Modeling Network (CISNET) and data from the Cancer Risk Estimates Related to Susceptibility consortium (CARRIERS) to project lifetime breast cancer incidence and mortality in ATM, CHEK2, and PALB2 carriers. We simulated screening with annual mammography from ages 40-74 alone and with annual magnetic resonance imaging (MRI) starting at ages 40, 35, 30, and 25. Joint and separate mammography and MRI screening performance was based on published literature. Lifetime outcomes per 1,000 women were reported as means and ranges across both models. Results: Estimated risk of breast cancer by age 80 was 22% (21-23%) for ATM, 28% (26-30%) for CHEK2, and 40% (38-42%) for PALB2. Screening with MRI and mammography reduced breast cancer mortality by 52-60% across variants (Table). Compared to no screening, starting MRI at age 30 increased life years (LY)/1000 women by 501 (478-523) in ATM, 620 (587-652) in CHEK2, and 1,025 (998-1,051) in PALB2. Starting MRI at age 25 versus 30 gained 9-12 LY/1000 women with 517-518 additional false positive screens and 197-198 benign biopsies. Conclusions: For women with ATM, CHEK2, and PALB2 pathogenic variants, breast cancer screening with MRI and mammography halves breast cancer mortality. These mortality benefits are similar to those for MRI screening for BRCA1/2 mutation carriers and should inform practice guidelines.[Table: see text]

Objectives To analyze self‐reported changes in physical function in older women with breast cancer receiving adjuvant chemotherapy. Design Secondary analysis of the Cancer and Leukemia Group B (CALGB) 49907 prospective randomized clinical trial. Setting CALGB institutions in the United States. Participants Women aged 65 and older with Stage I to III breast cancer enrolled in CALGB 49907 who had physical function data from before and after receipt of adjuvant chemotherapy (N=256; mean age 71.5, range 65–85). Measurements Participants were administered the physical function subscale of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire before chemotherapy, at the end of chemotherapy, and 12 months after chemotherapy initiation. Functional decline was defined as a more than 10‐point decrease from baseline at each time point. Resilience was defined as return to within 10 points of baseline. Multivariable regression was used to examine pretreatment characteristics associated with physical function changes. Results Of 42% of participants who had physical function decline from before to the end of chemotherapy, 47% recovered by 12 months (were resilient). Almost one‐third experienced functional decline from before chemotherapy to 12 months later. Pretreatment fatigue was a risk factor for functional decline from before to the end of chemotherapy ( P =.02). Risk factors for functional decline at 12 months included pretreatment dyspnea ( P =.007) and being unmarried ( P= .01). Conclusion Functional decline was common in older women receiving adjuvant chemotherapy for breast cancer in a clinical trial. Although half recovered their physical function, one‐third had a clinically meaningful decline at 12 months. Strategies are needed to prevent functional decline in older adults receiving chemotherapy. J Am Geriatr Soc 67:920–927, 2019.

Purpose Despite increasing awareness of accrual challenges, it is unknown if accrual of older patients to breast cancer treatment trials is improving. Methods We examined accrual of older patients to Alliance for Clinical Trials in Oncology systemic therapy breast cancer trials during 1985-2012 and compared disease characteristics and reasons for therapy cessation for older (age ≥ 65 years and ≥ 70 years) versus younger (age < 65 years and < 70 years) participants. To examine accrual trends, we modeled age as a function of time, using logistic regression. Results Overall, 17% of study participants were ≥ 65 years of age. Approximately 15%, 24%, and 24% of participants in adjuvant, neoadjuvant, and metastatic trials were age ≥ 65 years, and 7%, 15%, and 13% were age ≥ 70 years, respectively. The odds of a patient age ≥ 65 years enrolling significantly increased over time for adjuvant trials (odds ratio [OR] per year, 1.04; 95% CI, 1.04 to 1.05) but decreased significantly for neoadjuvant and metastatic trials (OR, 0.62; 95% CI, 0.58 to 0.67 and OR, 0.98, 95% CI, 0.97 to 1.00). Similar trends were seen for those age ≥ 70 years but these were statistically significant for adjuvant and neoadjuvant trials only (OR, 1.05, 95% CI, 1.04 to 1.07; and OR, 0.57, 95% CI, 0.52 to 0.62). In general, those age ≥ 65 years ( v those < 65 years) in adjuvant studies had a higher mean number of lymph nodes involved and more hormone receptor-negative tumors, although tumor sizes were similar. Early protocol treatment cessation was also more frequent in those age ≥ 65 years (50%) versus < 65 years (35.9%) across trials. Conclusion Older patients with breast cancer remain largely underrepresented in cooperative group therapeutic trials. We observed some improvement in accrual to adjuvant trials but worsening of accrual for neoadjuvant/metastatic trials. Novel strategies to increase accrual of older patients are critical to meaningfully change the evidence base for this growing patient population.

Abstract Background: Older adults represent 50% or more of all newly diagnosed cancer patients annually; these patients have multiple morbidities, complicating treatment decision-making.. Discussions about the risks and benefits of cancer treatments might be improved by having data on estimated all-cause survival. ePrognosis (http://eprognosis.ucsf.edu/carey2.php) is an online tool validated in older adults without cancer. We compared survival estimates using ePrognosis to observed survival in a population of women with early stage breast cancer who volunteered for cooperative group studies. Methods: Participants in CALGB 49907 (n=194) and 369901 (n=809) who were age 70+ were included (total n=1003). Both studies had comparable eligibility: primary, newly diagnosed, invasive, non-metastatic breast cancer. In 49907, eligibly also included PS 0-2; in 369901 there were no PS restrictions, but women who failed a screening cognitive exam were excluded. The Carey 2-year Index from ePrognosis was used to estimate all-cause 2-year survival, based on age, sex, and daily function. Function (needing help from another person to bath and shop for groceries, difficulty walking several blocks and pushing or pulling a heavy object) was derived from the EORTC QLC-30. The Carey index from ePrognosis generates scores from 1-10, with higher scores indicating higher probability of death. Kaplan-Meier methods were used to obtain point estimates and confidence intervals for the observed 2-yr survival. A two sided z-test was used to test the hypothesis that the observed survival rate is equivalent to the predicted survival rate. Results: At two years from study entry, 921 women were alive; 56 had died, and 26 were lost to follow-up/withdrawn. The population was, on average, 76 years old (SD 4.8), primarily white (89.3%), and the majority had hormone receptor positive tumors (79.4%). In our population, the Carey 2-years index predicated survival was not significantly different than observed rates in the 0-2 points and underestimated the survival rates for patients who had 3-6 points and 7-10 points. ePrognosis Prediction49907 & 369901 PatientsPointsPredicted Probability of SurvivalNNumber of DeathsObserved Probability of Overall Survival at 2 years (%, 95% CI)p-value0-295%5332595% (93-97%)0.7433-688%4272394% (92-96%)&lt;0.0017-1064%43881% (65-90%)0.017 Conclusions: In this population of older women with breast cancer, using a few readily available data items, ePrognosis provided accurate survival estimates for women with a low probability of death (0-2 points) and underestimated all-cause survival in women with an increased probability of death (3-10 points). Further studies are needed to assess the validity of this tool in samples of cancer patients with higher risks of 2-year mortality. Extended follow-up to validate the tools in predicting 5- and 10-year all-cause and non-cancer mortality risk will further contribute to decision making in older patients. Citation Format: Kimmick G, Pitcher B, Mandelblatt J, Clapp J, Ballman K, Barginear M, Freedman R, Artz A, Klepin H, Lafky J, Hopkins J, Winer E, Hudis C, Muss H, Cohen H, Jatoi A, Hurria A. All-cause survival estimates compared to observed survival in older women with breast cancer in CALGB 49907 and 369901 (Alliance A151503). [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P6-09-10.

Abstract Background: Cognitive changes for older women who receive chemotherapy are poorly understood. Methods: Cancer and Leukemia Group B (CALGB) 49907 enrolled 633 women ≥65 years with early stage breast cancer and randomized them to standard adjuvant chemotherapy (AC or CMF) or capecitabine (N Eng J Med 360:2055, 2009). Patients enrolled on the Quality of Life companion study (N = 350) included women who had cognitive and psychological functioning sufficient for providing informed consent and participation in the trial (J Clin Oncol 29:1022, 2011). Participants completed an 18 item questionnaire focusing on their subjective report of cognitive function (attention, problem-solving, speed, new learning, and remote memory) at 6 time points (baseline, mid-treatment, within 1 month post treatment, and at 12, 18, and 24 months post treatment). Possible scores for each item ranged from 1–7 (‘above average’ - ‘severe problem’). Cognitive function score (CFS) was defined as the mean score of items 1–18. Cognitive impairment was defined as CFS 1.5 standard deviations above the overall average baseline. Univariate associations were tested between baseline CFS and patient characteristics (treatment, race, education, number of positive nodes, hormone receptor status, HER2 status, performance status, number of comorbidities, fatigue and depression) using Kruskal-Wallis testing. Frequency distributions were used to describe cognitive impairment. Multivariate analyses were not completed because few women reported subjective cognitive impairment during the study period. Results: 297 assessments were received at baseline, 280 at both mid-treatment and within 1 month post-treatment, 259 at 12 months, 245 at 18 months and 240 at 24 months post-treatment. The median age was 72 (65–85); 32% received AC, 21% CMF, and 47% capecitabine. Most women were white (87%) and had a performance status of 0 (73%). Approximately half of women had a high school degree or less and the majority had stage I-II (78%), hormone-receptor positive (68%) cancers and most did not experience depression or fatigue at baseline. At baseline, the overall mean CFS was 2.1 (‘normal ability’) and 19 women (6%) had mild to severe impairment. Baseline scores did not differ by treatment (p = 0.35). Worse cognitive function at baseline was associated with less education (p &lt; 0.01), increased number of positive nodes (p = 0.02), 4+ comorbid conditions (p &lt; 0.01) and fatigue (p = 0.02), although differences for these groups were small. During the study period, overall mean cognitive function scores remained at ‘normal ability’. At mid-treatment, within 1 month post treatment, 12, 18 and 24 months, cognitive impairment was present in 19 (6%), 19 (6%), 29 (10%), 31 (12%), 18 (7%), and 22 (9%), respectively. Conclusions: Our data suggest that in a healthy group of women without baseline cognitive impairments on objective screening, chemotherapy does not seem to be associated with changes in self-reported cognitive function over time. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P6-08-05.